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Discursive Patinas: Anchoring Discussions in Data Visualizations
University of Edinburgh, U.K.; Potsdam University of Applied Sciences (DE), Germany.
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-9419-3402
Potsdam University of Applied Sciences (DE), Germany.
Inria (FR) and the University of Edinburgh, U.K.
2025 (English)In: IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, ISSN 1077-2626, Vol. 31, no 1, p. 1246-1256Article in journal (Refereed) Published
Abstract [en]

This paper presents discursive patinas, a technique to visualize discussions onto data visualizations, inspired by how people leave traces in the physical world. While data visualizations are widely discussed in online communities and social media, comments tend to be displayed separately from the visualization and we lack ways to relate these discussions back to the content of the visualization, e.g., to situate comments, explain visual patterns, or question assumptions. In our visualization annotation interface, users can designate areas within the visualization. Discursive patinas are made of overlaid visual marks (anchors), attached to textual comments with category labels, likes, and replies. By coloring and styling the anchors, a meta visualization emerges, showing what and where people comment and annotate the visualization. These patinas show regions of heavy discussions, recent commenting activity, and the distribution of questions, suggestions, or personal stories. We ran workshops with 90 students, domain experts, and visualization researchers to study how people use anchors to discuss visualizations and how patinas influence people's understanding of the discussion. Our results show that discursive patinas improve the ability to navigate discussions and guide people to comments that help understand, contextualize, or scrutinize the visualization. We discuss the potential of anchors and patinas to support discursive engagements, including critical readings of visualizations, design feedback, and feminist approaches to data visualization.

Place, publisher, year, edition, pages
IEEE, 2025. Vol. 31, no 1, p. 1246-1256
Keywords [en]
Data Visualization, Discussion, Annotation
National Category
Human Computer Interaction Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-208924DOI: 10.1109/TVCG.2024.3456334ISI: 001449829900100PubMedID: 39269807Scopus ID: 2-s2.0-86000425657OAI: oai:DiVA.org:liu-208924DiVA, id: diva2:1908610
Conference
IEEE VIS
Available from: 2024-10-28 Created: 2024-10-28 Last updated: 2025-05-07Bibliographically approved

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Akbaba, Derya

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf